About the Role

We’re partnering with a fast-growing AI platform that helps professional services firms optimise their most valuable resource: time. Using proprietary machine learning technology, the platform automates work time capture and connects data to business outcomes, enabling firms to increase profitability, improve client delivery, and make data-driven strategic decisions.

They are looking for a Senior Data Engineer to join the team and help build scalable data pipelines and ML infrastructure that power the platform’s analytics and AI capabilities.

What You’ll Do

Design, develop, and maintain robust data pipelines for batch and real-time processing.
Build and optimise ML infrastructure to support model training, deployment, and monitoring.
Collaborate with data scientists and engineers to ensure high-quality, reliable data.
Work with cloud platforms (AWS, GCP, Azure) and modern data tools to support analytics and ML workflows.
Implement best practices for data governance, observability, and performance.

What We’re Looking For

6+ years of experience in data engineering or related roles.
Strong skills in Python, SQL, and big data frameworks (e.g., Spark, Airflow, Kafka, Databricks).
Hands-on experience with ML pipelines or MLOps platforms.
Proficiency in cloud data ecosystems (AWS, GCP, Azure).
Passion for building data-driven systems that impact business outcomes.

Why You’ll Love This Opportunity

Work on cutting-edge ML infrastructure with tangible business impact.
Join a collaborative and innovative team shaping the future of AI-powered data platforms.
Flexible working arrangements – hybrid working in one of their offices (New York, San Francisco or Los Angeles)
Competitive compensation and growth opportunities.

NXS Tech Ltd

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